Description

The NVIDIA H100 8x 80GB SXM system delivers the performance enterprises need to accelerate AI training, inference, and HPC applications at scale. Built on the NVIDIA Hopper architecture, this multi-GPU system is purpose-engineered for businesses deploying large-scale AI infrastructure, ensuring faster innovation cycles and optimized total cost of ownership.

• Optimized for large AI models including LLMs and generative AI.
• 640GB of aggregated HBM3 memory for data-intensive workloads.
• High-speed NVLink interconnects ensure seamless GPU-to-GPU communication.
• Enterprise-ready architecture supporting reliability and scalability.

Architecture & Performance Highlights:

• Built on the NVIDIA Hopper™ architecture, the H100 delivers an industry-leading leap in AI compute, with up to 30× faster inference for large language models (LLMs) compared to previous generations.
• Features the Transformer Engine—a dedicated block for trillion-parameter model acceleration.
• Supports a broad range of precisions (FP64, FP32, FP16, INT8), making it versatile across AI, analytics, and HPC workloads.

Memory & Bandwidth Enhancements:

• Each card supports HBM3 memory (up to 80 GB per GPU) and boasts memory bandwidth exceeding 3 TB/s, roughly 50% higher than the Ampere A100.

Scalability & Security:

• Employs NVLink Switch System, enabling scalable GPU clusters of up to 256 H100 GPUs—ideal for exascale AI workloads.
• Offers MIG (Multi-Instance GPU) partitioning for resource-flexible deployment across diverse workloads.
• Incorporates hardware-based Confidential Computing, safeguarding data in use, essential for regulated environments.

Enterprise System Integration: 

• Used in platforms like NVIDIA DGX H100, this system combines 8 H100 SXM GPUs, dual Intel Xeon CPUs, NVSwitch, and enterprise-grade storage/networking for ready-to-deploy AI infrastructure.
• Lenovo’s ThinkSystem configuration shows compatibility with water-cooling and data center environments.

Use Cases:

• AI Training & Research: Accelerating large language model development.
• HPC & Simulation: Faster scientific discovery and modeling.
• Enterprise Analytics: High-performance data modeling and decision-making.
• Cloud & Hyperscale Providers: Offering GPU-based services at scale.

Deploying AI at scale requires the right infrastructure. Talk to our solutions team to explore how the H100 8x 80GB SXM Full system server can accelerate your enterprise transformation! Schedule a Call📞